Task-specific information for imaging system analysis

Mark A Neifeld, Amit Ashok, Pawan K. Baheti

Research output: Contribution to journalArticle

57 Citations (Scopus)

Abstract

Imagery is often used to accomplish some computational task. In such cases there are some aspects of the imagery that are relevant to the task and other aspects that are not. In order to quantify the task-specific quality of such imagery, we introduce the concept of task-specific information (TSI). A formal framework for the computation of TSI is described and is applied to three common tasks: target detection, classification, and localization. We demonstrate the utility of TSI as a metric for evaluating the performance of three imaging systems: ideal geometric, diffraction-limited, and projective. The TSI results obtained from the simulation study quantify the degradation in the task-specific performance with optical blur. We also demonstrate that projective imagers can provide higher TSI than conventional imagers at small signal-to-noise ratios.

Original languageEnglish (US)
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume24
Issue number12
DOIs
StatePublished - 2007

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Imagery (Psychotherapy)
Systems Analysis
Information Systems
Image sensors
Imaging systems
Systems analysis
Target tracking
Signal to noise ratio
Diffraction
Task Performance and Analysis
Signal-To-Noise Ratio
Degradation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Vision and Pattern Recognition

Cite this

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